The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-14"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "13323530 (up from 13104391 yesterday: 1.67 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "578628 (up from 573003 yesterday: 0.98 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4060064

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.34



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3431574 67417 2.00 1084552 136466 900 0.66 3.98
Brazil 1926824 41857 2.22 780918 74133 1300 1.78 3.85
India 936181 29429 3.25 479998 24309 582 2.45 2.60
Russia 738787 6240 0.85 139909 11597 175 1.53 1.57
Peru 333867 3744 1.13 73057 12229 175 1.45 3.66
Chile 319493 1836 0.58 68726 7069 45 0.64 2.21
Mexico 311486 7051 2.32 120076 36327 836 2.36 11.66
South Africa 298292 10496 3.65 192184 4346 174 4.17 1.46
United Kingdom 292931 1240 0.43 -14751 45053 138 0.31 15.38
Iran 262173 2521 0.97 52203 13211 179 1.37 5.04
Spain 256619 666 0.26 9867 28409 3 0.01 11.07
Pakistan 255769 2165 0.85 66843 5386 66 1.24 2.11
Italy 243344 114 0.05 4511 34984 17 0.05 14.38
Saudi Arabia 237803 2692 1.14 73659 2283 40 1.78 0.96
Turkey 214993 992 0.46 24828 5402 20 0.37 2.51
France 209640 0 0.00 11836 30032 0 0.00 14.33
Germany 200456 276 0.14 7976 9078 4 0.04 4.53
Bangladesh 190057 3163 1.69 70859 2424 33 1.38 1.28
Colombia 154277 3832 2.55 80517 5787 153 2.72 3.75
Canada 110350 366 0.33 6583 8845 9 0.10 8.02
Argentina 106910 3645 3.53 59707 1968 65 3.42 1.84
Qatar 104533 517 0.50 14954 150 1 0.67 0.14
China 85226 109 0.13 573 4642 1 0.02 5.45
Egypt 83930 929 1.12 25789 4008 73 1.86 4.78
Iraq 81757 2022 2.54 47255 3345 95 2.92 4.09
Indonesia 78572 1591 2.07 30676 3710 54 1.48 4.72
Sweden 76001 175 0.23 15164 5545 9 0.16 7.30
Ecuador 69570 1111 1.62 17927 5130 67 1.32 7.37
Belarus 65269 155 0.24 5782 474 6 1.28 0.73
Kazakhstan 63514 1759 2.85 44749 375 0 0.00 0.59
Belgium 62781 74 0.12 1971 9787 5 0.05 15.59
Oman 59568 1389 2.39 27174 273 14 5.41 0.46
Philippines 57545 539 0.95 25720 1603 4 0.25 2.79
Kuwait 56174 666 1.20 15141 396 3 0.76 0.70
Ukraine 55931 646 1.17 17030 1429 14 0.99 2.55
United Arab Emirates 55573 375 0.68 9890 335 1 0.30 0.60
Netherlands 51362 54 0.11 1432 6154 -2 -0.03 11.98
Bolivia 50867 1617 3.28 24478 1898 32 1.71 3.73
Panama 48096 923 1.96 20782 960 28 3.00 2.00
Portugal 47051 233 0.50 7314 1668 6 0.36 3.55
Singapore 46630 347 0.75 4198 27 1 3.85 0.06
Dominican Republic 46305 799 1.76 18369 910 7 0.78 1.97
Israel 42360 1728 4.25 20848 371 6 1.64 0.88
Poland 38457 267 0.70 5930 1588 12 0.76 4.13
Afghanistan 34740 285 0.83 5259 1048 36 3.56 3.02
Bahrain 34078 602 1.80 11016 111 2 1.83 0.33
Nigeria 33616 463 1.40 12245 754 10 1.34 2.24
Romania 33585 637 1.93 9080 1931 30 1.58 5.75
Switzerland 33016 70 0.21 1684 1968 0 0.00 5.96
Armenia 32490 339 1.05 11484 581 8 1.40 1.79
Guatemala 30872 1130 3.80 16332 1302 58 4.66 4.22
Honduras 28579 0 0.00 14636 789 0 0.00 2.76
Ireland 25670 32 0.12 279 1746 0 0.00 6.80
Azerbaijan 25113 543 2.21 11398 319 6 1.92 1.27
Ghana 24988 0 0.00 10420 139 0 0.00 0.56
Japan 22437 312 1.41 4558 984 0 0.00 4.39
Algeria 20216 527 2.68 8140 1028 10 0.98 5.09
Moldova 19708 269 1.38 4994 655 6 0.92 3.32
Austria 19021 73 0.39 1613 709 1 0.14 3.73
Serbia 18983 344 1.85 5891 418 13 3.21 2.20
Nepal 17061 116 0.68 6962 38 0 0.00 0.22
Morocco 16097 161 1.01 5753 257 2 0.78 1.60
Cameroon 15173 0 0.00 2903 359 0 0.00 2.37
Uzbekistan 14085 494 3.63 7423 67 3 4.69 0.48
Korea, South 13551 39 0.29 1016 289 0 0.00 2.13
Czechia 13341 103 0.78 2691 355 2 0.57 2.66
Denmark 13262 24 0.18 501 610 0 0.00 4.60
Cote d’Ivoire 13037 165 1.28 5133 87 3 3.57 0.67
Kyrgyzstan 11444 0 0.00 7718 149 0 0.00 1.30
Kenya 10791 497 4.83 5839 202 5 2.54 1.87
Australia 10487 236 2.30 2966 111 3 2.78 1.06
Sudan 10417 101 0.98 1528 659 2 0.30 6.33
El Salvador 10303 325 3.26 5330 278 11 4.12 2.70
Venezuela 10010 303 3.12 5823 96 3 3.23 0.96

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 403175 912 0.23 14090 32408 13 0.04 8.04 20725.00 1665.92 1 in 48
California 346211 12854 3.86 154734 7250 161 2.27 2.09 8762.12 183.49 1 in 114
Florida 291629 9194 3.26 188126 4409 132 3.09 1.51 13578.20 205.28 1 in 74
Texas 279577 9799 3.63 156645 3362 86 2.63 1.20 9641.96 115.95 1 in 104
New Jersey 175915 393 0.22 6181 15582 22 0.14 8.86 19805.36 1754.30 1 in 50
Illinois 156638 707 0.45 18813 7419 25 0.34 4.74 12361.13 585.47 1 in 81
Arizona 128097 4273 3.45 69719 2337 91 4.05 1.82 16821.90 306.90 1 in 59
Georgia 123963 3391 2.81 56153 3054 28 0.93 2.46 11675.43 287.64 1 in 86
Massachusetts 112130 303 0.27 4691 8340 10 0.12 7.44 16134.97 1200.09 1 in 62
Pennsylvania 101266 936 0.93 14058 6931 20 0.29 6.84 7910.18 541.40 1 in 126
North Carolina 90000 2331 2.66 35361 1571 42 2.75 1.75 8581.17 149.79 1 in 117
Louisiana 82042 2215 2.77 30447 3445 22 0.64 4.20 17648.02 741.05 1 in 57
Michigan 77864 666 0.86 9667 6326 5 0.08 8.12 7796.65 633.43 1 in 128
Maryland 74260 733 1.00 9253 3334 9 0.27 4.49 12283.15 551.47 1 in 81
Virginia 72443 801 1.12 13449 1977 9 0.46 2.73 8487.24 231.62 1 in 118
Ohio 67995 1142 1.71 21868 3069 5 0.16 4.51 5816.96 262.55 1 in 172
Tennessee 66788 1514 2.32 30485 767 18 2.40 1.15 9774.08 112.25 1 in 102
South Carolina 60389 2221 3.82 33817 993 21 2.16 1.64 11728.95 192.86 1 in 85
Alabama 57255 1710 3.08 26158 1164 40 3.56 2.03 11677.10 237.40 1 in 86
Indiana 52685 648 1.25 9814 2775 13 0.47 5.27 7825.80 412.20 1 in 128
Connecticut 47530 20 0.04 1631 4372 1 0.02 9.20 13331.33 1226.27 1 in 75
Minnesota 43170 398 0.93 9701 1548 6 0.39 3.59 7654.75 274.49 1 in 131
Washington 42304 547 1.31 12918 1404 5 0.36 3.32 5555.43 184.38 1 in 180
Wisconsin 37906 964 2.61 12575 826 6 0.73 2.18 6510.34 141.87 1 in 154
Colorado 37668 450 1.21 6791 1738 11 0.64 4.61 6541.02 301.80 1 in 153
Mississippi 37542 862 2.35 14644 1272 22 1.76 3.39 12614.29 427.40 1 in 79
Iowa 35866 235 0.66 9397 757 2 0.26 2.11 11367.74 239.93 1 in 88
Utah 30478 448 1.49 12178 226 10 4.63 0.74 9506.67 70.49 1 in 105
Arkansas 29812 873 3.02 13134 331 8 2.48 1.11 9878.64 109.68 1 in 101
Nevada 29619 1104 3.87 16091 612 19 3.20 2.07 9616.07 198.69 1 in 104
Missouri 29240 951 3.36 10235 1114 9 0.81 3.81 4764.21 181.51 1 in 210
Oklahoma 21740 994 4.79 10709 428 4 0.94 1.97 5494.10 108.16 1 in 182
Nebraska 21717 318 1.49 3618 286 -2 -0.69 1.32 11226.69 147.85 1 in 89
Kentucky 20223 570 2.90 6082 635 6 0.95 3.14 4526.52 142.13 1 in 221
Kansas 19887 242 1.23 7350 299 1 0.34 1.50 6826.25 102.63 1 in 146
Rhode Island 17588 101 0.58 1055 985 1 0.10 5.60 16602.46 929.81 1 in 60
New Mexico 15514 223 1.46 4676 551 3 0.55 3.55 7398.79 262.78 1 in 135
Delaware 12969 90 0.70 2122 518 1 0.19 3.99 13318.42 531.96 1 in 75
Oregon 12805 367 2.95 5531 244 7 2.95 1.91 3035.99 57.85 1 in 329
Idaho 11720 316 2.77 7466 103 1 0.98 0.88 6539.94 57.48 1 in 153
District of Columbia 10946 40 0.37 852 568 0 0.00 5.19 15509.76 804.82 1 in 64
Puerto Rico 10123 113 1.13 3438 169 2 1.20 1.67 3169.68 52.92 1 in 315
South Dakota 7572 48 0.64 1219 109 0 0.00 1.44 8559.23 123.21 1 in 117
New Hampshire 6091 23 0.38 520 392 1 0.26 6.44 4479.63 288.30 1 in 223
North Dakota 4493 51 1.15 1173 88 1 1.15 1.96 5895.85 115.48 1 in 170
West Virginia 4407 94 2.18 1814 97 0 0.00 2.20 2465.94 54.28 1 in 406
Maine 3566 8 0.22 570 114 0 0.00 3.20 2652.86 84.81 1 in 377
Montana 1952 109 5.91 1209 34 2 6.25 1.74 1826.38 31.81 1 in 548
Wyoming 1950 47 2.47 696 22 1 4.76 1.13 3369.28 38.01 1 in 297
Alaska 1579 40 2.60 819 17 0 0.00 1.08 2158.45 23.24 1 in 463
Vermont 1305 4 0.31 141 56 0 0.00 4.29 2091.38 89.75 1 in 478
Hawaii 1264 21 1.69 445 22 0 0.00 1.74 892.74 15.54 1 in 1120

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4784927 403175 8.43 1284119 14090 1.10 245966.64
2 California 5674955 346211 6.10 2178026 154734 7.10 143625.30
3 Florida 2685243 291629 10.86 1044491 188126 18.01 125024.48
4 Texas 2598680 279577 10.76 1001390 156645 15.64 89622.38
5 New Jersey 1721231 175915 10.22 437780 6181 1.41 193784.53
6 Illinois 2042572 156638 7.67 642062 18813 2.93 161190.09
7 Arizona 721943 128097 17.74 281425 69719 24.77 94806.72
8 Georgia 1131034 123963 10.96 399773 56153 14.05 106526.23
9 Massachusetts 978214 112130 11.46 190572 4691 2.46 140760.28
10 Pennsylvania 947283 101266 10.69 268180 14058 5.24 73994.99
11 North Carolina 1254846 90000 7.17 481018 35361 7.35 119644.92
12 Louisiana 976455 82042 8.40 340516 30447 8.94 210044.80
13 Michigan 1333786 77864 5.84 405118 9667 2.39 133554.13
14 Maryland 666069 74260 11.15 182534 9253 5.07 110172.72
15 Virginia 830850 72443 8.72 262473 13449 5.12 97340.30
16 Ohio 1043749 67995 6.51 373312 21868 5.86 89292.50
17 Tennessee 1071888 66788 6.23 366469 30485 8.32 156865.32
18 South Carolina 517481 60389 11.67 208230 33817 16.24 100506.85
19 Alabama 529089 57255 10.82 175051 26158 14.94 107907.21
20 Indiana 578409 52685 9.11 152033 9814 6.46 85916.55
21 Connecticut 591761 47530 8.03 187817 1631 0.87 165978.50
22 Minnesota 777614 43170 5.55 257569 9701 3.77 137883.82
23 Washington 708274 42304 5.97 231070 12918 5.59 93011.68
24 Wisconsin 714544 37906 5.30 211048 12575 5.96 122722.56
25 Colorado 404955 37668 9.30 117079 6791 5.80 70320.12
26 Mississippi 350213 37542 10.72 86249 14644 16.98 117673.21
27 Iowa 380408 35866 9.43 115705 9397 8.12 120570.38
28 Utah 424521 30478 7.18 122245 12178 9.96 132416.27
29 Arkansas 390299 29812 7.64 125807 13134 10.44 129331.22
30 Nevada 360180 29619 8.22 111654 16091 14.41 116935.64
31 Missouri 505103 29240 5.79 187729 10235 5.45 82298.81
32 Oklahoma 441294 21740 4.93 146237 10709 7.32 111523.18
33 Nebraska 216235 21717 10.04 57593 3618 6.28 111783.55
34 Kentucky 455556 20223 4.44 124262 6082 4.89 101967.18
35 Kansas 231175 19887 8.60 76162 7350 9.65 79351.21
36 Rhode Island 174658 17588 10.07 -47505 1055 -2.22 164871.09
37 New Mexico 424355 15514 3.66 126279 4676 3.70 202379.40
38 Delaware 141600 12969 9.16 44064 2122 4.82 145415.11
39 Oregon 305456 12805 4.19 94744 5531 5.84 72421.77
40 Idaho 130284 11720 9.00 54120 7466 13.80 72700.49
41 District of Columbia 133916 10946 8.17 50614 852 1.68 189750.18
43 South Dakota 92164 7572 8.22 18178 1219 6.71 104180.25
44 New Hampshire 136028 6091 4.48 27152 520 1.92 100041.85
45 North Dakota 125033 4493 3.59 27480 1173 4.27 164071.95
46 West Virginia 214012 4407 2.06 59684 1814 3.04 119750.64
47 Maine 125475 3566 2.84 43768 570 1.30 93344.65
48 Montana 121396 1952 1.61 47473 1209 2.55 113583.92
49 Wyoming 40028 1950 4.87 11289 696 6.17 69161.78
50 Alaska 149473 1579 1.06 56526 819 1.45 204325.09
51 Vermont 77624 1305 1.68 18296 141 0.77 124399.63
52 Hawaii 96070 1264 1.32 26730 445 1.66 67852.18

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 275640 7975 2.98 152613 55.37 111801 10928 233 2.18 3.96
Tamil Nadu 151820 4496 3.05 102310 67.39 47343 2167 68 3.24 1.43
Delhi 116993 1647 1.43 95699 81.80 17807 3487 41 1.19 2.98
Karnataka 47253 3176 7.21 18467 39.08 27849 933 87 10.28 1.97
Gujarat 44648 925 2.12 31346 70.21 11222 2080 10 0.48 4.66
Uttar Pradesh 41383 1659 4.18 25743 62.21 14628 1012 29 2.95 2.45
Telangana 39342 1597 4.23 25999 66.08 12957 386 11 2.93 0.98
Andhra Pradesh 35451 2432 7.37 18378 51.84 16621 452 44 10.78 1.27
West Bengal 34427 1589 4.84 20680 60.07 12747 1000 20 2.04 2.90
Rajasthan 26437 866 3.39 19502 73.77 6405 530 6 1.15 2.00
Haryana 23306 678 3.00 17667 75.80 5320 319 7 2.24 1.37
Bihar 20173 1320 7.00 13533 67.08 6483 157 14 9.79 0.78
Assam 19755 1088 5.83 12889 65.24 6810 53 2 3.92 0.27
Madhya Pradesh 19643 638 3.36 13908 70.80 5053 682 9 1.34 3.47
Odisha 14898 618 4.33 10476 70.32 4321 101 5 5.21 0.68
Jammu and Kashmir 11666 493 4.41 6337 54.32 5123 206 11 5.64 1.77
Kerala 9554 623 6.98 4634 48.50 4880 36 1 2.86 0.38
Punjab 8799 288 3.38 5867 66.68 2711 221 8 3.76 2.51
Jharkhand 4562 337 7.98 2485 54.47 2039 38 2 5.56 0.83
Chhattisgarh 4556 177 4.04 3324 72.96 1212 20 0 0.00 0.44
Uttarakhand 3785 99 2.69 2948 77.89 754 50 0 0.00 1.32
Goa 2951 198 7.19 1674 56.73 1259 18 0 0.00 0.61
Tripura 2281 98 4.49 1604 70.32 660 3 1 50.00 0.13
Manipur 1700 28 1.67 1080 63.53 620 0 0 NaN 0.00
Puducherry 1596 65 4.25 889 55.70 686 21 3 16.67 1.32
State Unassigned 1524 -655 -30.06 0 0.00 1524 0 0 NaN 0.00
Himachal Pradesh 1341 32 2.44 966 72.04 352 10 0 0.00 0.75
Ladakh 1142 14 1.24 964 84.41 177 1 0 0.00 0.09
Nagaland 902 6 0.67 348 38.58 554 0 0 NaN 0.00
Chandigarh 619 19 3.17 459 74.15 149 11 1 10.00 1.78
Dadra and Nagar Haveli and Daman and Diu 558 17 3.14 371 66.49 178 2 1 100.00 0.36
Arunachal Pradesh 491 29 6.28 153 31.16 335 3 0 0.00 0.61
Meghalaya 337 19 5.97 46 13.65 289 2 0 0.00 0.59
Mizoram 238 0 0.00 159 66.81 79 0 0 NaN 0.00
Sikkim 222 11 5.21 87 39.19 122 0 0 NaN 0.00
Andaman and Nicobar Islands 176 5 2.92 130 73.86 46 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1155050 95173 30 0.03 8.24 176 27 7952 16760 17.61
Piemonte 454092 31507 3 0.01 6.94 175 9 914 4115 13.06
Emilia-Romagna 554781 28971 13 0.04 5.22 93 9 1189 4271 14.74
Veneto 1076719 19420 19 0.10 1.80 29 2 427 2041 10.51
Toscana 375745 10330 4 0.04 2.75 8 2 311 1125 10.89
Liguria 164739 10038 6 0.06 6.09 23 0 194 1561 15.55
Lazio 373026 8356 18 0.22 2.24 188 10 894 846 10.12
Marche 150309 6805 1 0.01 4.53 4 0 160 987 14.50
P.A. Trento 134858 4881 0 0.00 3.62 2 0 26 405 8.30
Campania 304517 4779 0 0.00 1.57 16 1 252 432 9.04
Puglia 204917 4541 0 0.00 2.22 10 0 68 547 12.05
Friuli Venezia Giulia 214706 3338 3 0.09 1.55 4 0 86 345 10.34
Abruzzo 115444 3328 0 0.00 2.88 19 0 121 467 14.03
Sicilia 238702 3115 15 0.48 1.30 4 0 137 283 9.09
P.A. Bolzano 92044 2674 1 0.04 2.91 6 0 95 292 10.92
Umbria 107301 1450 0 0.00 1.35 4 0 8 80 5.52
Sardegna 94052 1374 1 0.07 1.46 4 0 10 134 9.75
Calabria 106176 1216 0 0.00 1.15 5 0 57 97 7.98
Valle d’Aosta 19707 1196 0 0.00 6.07 3 0 4 146 12.21
Molise 24875 446 0 0.00 1.79 1 0 9 23 5.16
Basilicata 42851 406 0 0.00 0.95 3 0 5 27 6.65

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 56730 109 0.19 5633 5 0.09 9.93 6644.67 659.78 1 in 150
Ontario 38814 84 0.22 2769 2 0.07 7.13 2638.29 188.22 1 in 379
Alberta 8912 86 0.97 163 2 1.24 1.83 2019.42 36.94 1 in 495
British Columbia 3128 75 2.46 189 0 0.00 6.04 612.02 36.98 1 in 1634
Nova Scotia 1066 0 0.00 63 0 0.00 5.91 1090.59 64.45 1 in 917
Saskatchewan 876 5 0.57 15 0 0.00 1.71 741.33 12.69 1 in 1349
Manitoba 330 5 1.54 7 0 0.00 2.12 239.56 5.08 1 in 4174
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 167 1 0.60 2 0 0.00 1.20 214.10 2.56 1 in 4671
Prince Edward Island 36 1 2.86 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1650 8 0.48
Hong Kong 1569 8 0.51
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 731 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 10487.70 417.07 1 in 95
Brazil 9206.04 354.19 1 in 109
India 699.16 18.15 1 in 1430
Russia 5112.71 80.26 1 in 196
Peru 10378.21 380.14 1 in 96
Chile 17700.44 391.63 1 in 56
Mexico 2410.88 281.17 1 in 415
South Africa 5259.03 76.62 1 in 190
United Kingdom 4408.96 678.10 1 in 227
Iran 3230.32 162.78 1 in 310
Spain 5499.76 608.85 1 in 182
Pakistan 1298.32 27.34 1 in 770
Italy 4023.54 578.44 1 in 249
Saudi Arabia 7219.28 69.31 1 in 139
Turkey 2660.48 66.85 1 in 376
France 3129.42 448.31 1 in 320
Germany 2421.26 109.65 1 in 413
Bangladesh NA NA 1 in NA
Colombia 3144.02 117.93 1 in 318
Canada 2935.62 235.30 1 in 341

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 219616 23336 10.63
Los Angeles California 140576 3897 2.77
Cook Illinois 96186 4741 4.93
Maricopa Arizona 84233 1198 1.42
Miami-Dade Florida 69803 1175 1.68
Harris Texas 49027 473 0.96
Nassau New York 42423 2190 5.16
Suffolk New York 42214 1993 4.72
Dallas Texas 35914 477 1.33
Westchester New York 35366 1435 4.06
Broward Florida 32814 464 1.41
Philadelphia Pennsylvania 27723 1646 5.94
Riverside California 26481 553 2.09
Orange California 26120 433 1.66
Clark Nevada 24824 498 2.01
Middlesex Massachusetts 24600 1923 7.82
Wayne Michigan 24270 2762 11.38
Palm Beach Florida 22279 624 2.80
Bexar Texas 21067 201 0.95
San Diego California 20887 436 2.09
Hillsborough Florida 20508 189 0.92
San Bernardino California 20456 309 1.51
Suffolk Massachusetts 20386 1022 5.01
Prince George’s Maryland 19956 715 3.58
Bergen New Jersey 19907 2032 10.21
Orange Florida 19377 85 0.44
Hudson New Jersey 19193 1487 7.75
Essex New Jersey 19058 2078 10.90
Tarrant Texas 18483 272 1.47
Passaic New Jersey 17105 1225 7.16
Middlesex New Jersey 17089 1379 8.07
Fairfield Connecticut 16960 1385 8.17
Union New Jersey 16537 1344 8.13
Essex Massachusetts 16530 1136 6.87
Montgomery Maryland 15883 762 4.80
Mecklenburg North Carolina 15680 163 1.04
Travis Texas 15445 172 1.11
Salt Lake Utah 15083 130 0.86
Fairfax Virginia 14574 500 3.43
Shelby Tennessee 14447 229 1.59
Milwaukee Wisconsin 14399 402 2.79
Davidson Tennessee 14205 155 1.09
Hennepin Minnesota 13790 791 5.74
Rockland New York 13733 670 4.88
Duval Florida 13724 87 0.63
Providence Rhode Island 13144 0 0.00
Oakland Michigan 12814 1109 8.65
Worcester Massachusetts 12710 961 7.56
New Haven Connecticut 12617 1087 8.62
Franklin Ohio 12574 449 3.57
King Washington 12213 624 5.11
Marion Indiana 12192 697 5.72
Pima Arizona 12114 338 2.79
Hartford Connecticut 11950 1394 11.67
Gwinnett Georgia 11882 187 1.57
Pinellas Florida 11754 262 2.23
Jefferson Louisiana 11450 495 4.32
Fulton Georgia 11354 327 2.88
District of Columbia District of Columbia 10946 568 5.19
Orange New York 10850 484 4.46
Lee Florida 10631 203 1.91
Lake Illinois 10464 429 4.10
Puerto Rico 10123 169 1.67
El Paso Texas 9953 152 1.53
Ocean New Jersey 9867 998 10.11
DuPage Illinois 9810 491 5.01
Monmouth New Jersey 9542 840 8.80
Norfolk Massachusetts 9530 959 10.06
Cuyahoga Ohio 9509 400 4.21
Out of GA Georgia 9384 58 0.62
Baltimore Maryland 8990 498 5.54
Montgomery Pennsylvania 8907 829 9.31
Orleans Louisiana 8846 542 6.13
Plymouth Massachusetts 8830 680 7.70
DeKalb Georgia 8784 183 2.08
Fresno California 8756 91 1.04
Baltimore City Maryland 8689 367 4.22
Yuma Arizona 8629 159 1.84
Bristol Massachusetts 8527 601 7.05
Yakima Washington 8357 183 2.19
Alameda California 8321 152 1.83
Charleston South Carolina 8250 67 0.81
Douglas Nebraska 8233 100 1.21
Kane Illinois 8151 285 3.50
St. Louis Missouri 8140 604 7.42
Imperial California 8119 141 1.74
Hidalgo Texas 8040 150 1.87
Denver Colorado 8011 395 4.93
Macomb Michigan 7922 929 11.73
Wake North Carolina 7901 76 0.96
Prince William Virginia 7890 157 1.99
Polk Florida 7881 151 1.92
Erie New York 7833 646 8.25
Mercer New Jersey 7807 603 7.72
Camden New Jersey 7746 551 7.11
Polk Iowa 7663 185 2.41
Delaware Pennsylvania 7606 669 8.80
Greenville South Carolina 7464 106 1.42
East Baton Rouge Louisiana 7421 279 3.76
Cobb Georgia 7388 256 3.47

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc